Introduction: Critical patients have different needs compared to patients in other general inpatient wards, so they need extra treatments from a nurse. Nurse caring behavior gived through an approach in which nurses work by improving their concern to patients. However, it is influenced by caring efficacy in which a nurse is confident to express his or her caring to patients. The aims of this study were to identify the correlation between caring efficacy with nurse caring behavior in taking care of critical patients at dr. Dradjat Prawiranegara Serang Hospital in Banten ProvinceMethods: This is a quantitative study with employed a correlation study. The sample size comprised 66 Nurses of ER, ICU and HCU with total sampling technique. The instruments used are CES (Caring Efficacy Scale) to measure caring efficacy and CBA (Caring Behavior Assessment) to measure nurse caring behavior. Descriptive analysis using mean, standard deviation, percentage and frequency distribution. Meanwhile, inferential analysis used Pearson's Correlation.Results: The univariate analysis results showed the mean ± DS score of caring behavior is 87.6 ± 10.12. Meanwhile, the mean ± DS score of caring efficacy is 86.23 ± 8.74. Further, inferential analysis revealed a significant (p < 0.000) and moderate correlations (r = 0.448) between caring efficacy and nurse caring behavior.Conclusion: Higher of nurse's caring efficacy were followed by higher of nurse's caring behavior in taking care of critical patients. Findings can be used by academic as a prospective nurse and health professionals, to implement a concept of caring efficacy to improve caring behavior. Further research can be a focus on the nursing interventions based on nurses caring behavior to strengthen and increase in taking care of critical patients.
DAGUSIBU (Dapatkan, Gunakan, Simpan, Buang) merupakan bagian dari Gerakan Keluarga Sadar Obat (GKSO) yang diprakarsai Ikatan Apoteker Indonesia (IAI) dalam mencapai pemahaman dan kesadaran masyarakat, khususnya pada ibu – ibu terhadap penggunaan obat dengan benar. Kegiatan penyuluhan Peduli Edukasi ObatDAGUSIBU memiliki tujuan membantu masyarakat setempat,khususnya ibu - ibu dalam pengelolaan obat baik di lingkungan keluarga maupun masyarakat secara umum. Penyuluhan dilakukan dengan metode pemberdayaan masyarakat partisipatif, yaitu metode yang menekankan keterlibatan masyarakat pada rangkaian kegiatan. Kegiatan penyuluhan berjalan dengan lancar dan sukses. Berdasarkan obersevasi, terdapat peningkatan pemahaman dan pengetahuan ibu ibu PKK menjawab dengan benar pertanyaan dari tim penyuluh.
Wajo Regency is the best silk weaving industrial area in South Sulawesi, but the emergence of several competitors for silk fabrics from abroad, and various modern-style fabric products that are variously supplied by wholesalers from outside the South Sulawesi area indirectly affect the movement of market. This study aims to determine the effect of entrepreneurial commitment, entrepreneurial competence and competitiveness of the silk industry on the business performance of silk entrepreneurs. The type of research is a quantitative research methodology. The research was conducted on a silk business located in Wajo Regency, South Sulawesi Province. A total of 357 samples were obtained using the cluster random sampling technique based on the Krejcie and Morgan tables. Data collection method employing a scale that uses the Likert scale. Data analysis techniques using the SmartPLS 3.0 software's path analysis, it was found that commitment, entrepreneurial competence has a significant effect on business performance, commitment has a significant effect on the development of competitiveness, and entrepreneurial competence has not significant effect on the development of competitiveness. The results found that the entrepreneurial competence of silk entrepreneurs was still lacking in developing the competitiveness of the silk business.
AbstrakData survival adalah data yang memiliki durasi waktu yang dimulai dari waktu awal sampai dengan waktu akhir ketika sebuah peristiwa yang diamati terjadi. Data lama waktu penerbitan perizinan izin gangguan atau Hinder Ordonantie (HO) di Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPM-PTSP) Kota Banda Aceh merupakan data survival dengan peristiwa yang diamati adalah proses penyelesaian penerbitan perizinan HO. Dengan demikian, data tersebut dapat dianalisis dengan menggunakan metode analisis survival. Penelitian ini menggunakan data sekunder yang dihimpun melalui berkas permohonan perizinan HO pada tahun 2016. Jumlah sampel yang digunakan dalam penelitian ini adalah sebanyak 36 kasus yang ditentukan dengan menggunakan rumus Slovin. Data survival tersebut dikategorikan tersensor apabila lama waktu penyelesaian proses perizinan HO lebih dari 7 hari. Metode analisis data yang digunakan dalam penelitian ini adalah Cox Proportional Hazard (Cox PH) model. Terdapat 11 variabel penjelas yang diduga mempengaruhi lamanya waktu penerbitan perizinan HO di DPM-PTSP Kota Banda Aceh. Analisis data dengan Cox PH model menunjukkan bahwa hanya 3 dari 11 variabel penjelas yang memiliki pengaruh yang signifikan. Ketiga variabel tersebut adalah biaya retribusi, kategori status gangguan dan luas tempat usaha. Sedangkan variabel lain yang berkaitan dengan latar belakang dan status pemohon terbukti tidak signifikan. Hal ini menunjukkan bahwa pelayanan di DPM-PTSP Kota Banda Aceh telah dilakukan secara jujur, berintegritas, profesional dan independen sesuai dengan capaian kinerja DPM-PTSP Kota Banda Aceh.Kata kunci: analisis survival, cox proportional hazard, izin gangguan (HO), lama waktu penerbitan perizinan. AbstractSurvival data is data that has a duration of time starting from the initial time to the end time when an observed event occurs. Length time data of completion of the disruption permit or Hinder Ordonantie(HO) in the One-door integrated investment and services office (DPM-PTSP) of Banda Aceh City is a survival data with the observed event is the process of completing the issuance of the disruption permit (HO). Therefore, the data could be analysed by using survival analysis methods. The study uses secondary dataset which is collected from the application files of HO in 2016. The number of sample uses in the study is 36 cases that determined by using Slovin formula. The survival data is categorised as a censoring dataset if the completion time of an application is longer than 7 days. The data analysis method used in this study is a Cox Proportional Hazard (Cox PH) model. There are 11 predictor variables that are suspected to affect the length time of issuance of the disruption permit (HO) at DPM-PTSP of Banda Aceh. Data analysis with Cox PH model shows that only 3 out of 11 predictor variables have significant effect on the model. Those variables are retribution fee, category of interference status, and the size of business place. While the others variables that associate with the background and status of t...
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